Machine Learning

Next Meeting

• When: Wednesday, 5/19/2010 @ 8:00pm
• Where: 2169 Mission St. (back corner classroom)
• Topic: Hadoop
• Presenter: Vikram

Mailing List

https://www.noisebridge.net/mailman/listinfo/ml

Projects

• KDD Competition 2010

Topics to Learn and Teach

• Supervised Learning
  • Linear Regression (Mike S volunteered to teach)
  • Linear Discriminants
  • Neural Nets/Radial Basis Functions
  • Support Vector Machines
  • Classifier Combination [1]
  • A basic decision tree builder, recursive and using entropy metrics

• Unsupervised Learning
  • Clustering/PCA
  • k-Means Clustering
  • Graphical Modeling
  • Generative Models: gaussian distribution, multinomial distributions, HMMs, Naive Bayes

• Reinforcement Learning
  • Temporal Difference Learning

• Math, Probability & Statistics
  • Metric spaces and what they mean
  • Fundamentals of probabilities
  • Decision Theory (Bayesian)
  • Maximum Likelihood
  • Bias/Variance Tradeoff, VC Dimension
  • Bagging, Bootstrap, Jacknife [2]
  • Information Theory: Entropy, Mutual Information, Gaussian Channels
  • Estimation of Misclassification [3]
  • No-Free Lunch Theorem [4]

• Machine Learning SDK's
  • OpenCV ML component (SVM, trees, etc)
  • Mahout a Hadoop cluster based ML package.
  • Weka a collection of data mining tools and machine learning algorithms.

• Applications
  • Collective Intelligence & Recommendation Engines

Possible Projects

• Online Optimization & Machine Learning Toolkit

Presentations and other Materials

• Awesome Machine Learning Applications -- A list of cool applications of ML
• Hands-on Machine Learning, a presentation jbm gave on 2009-01-07.
• http://www.youtube.com/user/StanfordUniversity#g/c/A89DCFA6ADACE599 Stanford Machine Learning online course videos]
• Media:Brief_statistics_slides.pdf, a presentation given on statistics for the machine learning group
• LinkedIn discussion on good resources for data mining and predictive analytics

Notes from Meetings

Machine Learning Meetup Notes: 2010-05-12 -- Group workshop on KDD data set

Machine Learning Meetup Notes: 2010-05-05 -- A Brief Tour of Statistics

Machine Learning Meetup Notes: 2010-04-28 -- SVMs

Machine Learning Meetup Notes: 2010-04-21 -- Linear Regression

Machine Learning Meetup Notes: 2010-04-14 -- (re)Starting new Machine Learning Meetup!

Machine Learning Meetup Notes: 2009-04-01 -- Finally moving on up: fully-connected backpropagation networks.

Machine Learning Meetup Notes: 2009-03-25 -- We made perceptrons - added sigmoid, etc.

Machine Learning Meetup Notes: 2009-03-18 -- We made perceptrons - linear function support!

Machine Learning Meetup Notes: 2009-03-11 -- We made perceptrons!

Machine Learning Meetup Notes: 2009-03-04 -- Josh gave a presentation on SVMs

(time is missing!)

Machine Learning Meetup Notes: 2009-02-11 -- Josh gave a presentation on clustering, donuts!

Machine Learning Meetup Notes: 2009-02-04 -- Free-form hang out night, punch and pie

Machine Learning Meetup Notes: 2009-01-28 -- Praveen talked about Neural networks

Machine Learning Meetup Notes: 2008-01-21 -- Jean gave a quick overview of machine learning stuff

Machine Learning Meetup Notes: 2009-01-14 -- Ian gave a talk on k-Nearest Neighbor

Machine Learning Meetup Notes: 2009-01-07 -- Josh did a quick intro to ML presentation

Machine Learning Meetup Notes: 2008-12-17